The time circle reached the status of Unicorn in less than three years.
This week, the company announced a round of C financing worth $200 million, valuing it at more than $1 billion. This is nine months after the startup raised $43 million in round B financing.
Chronosphere was created by former Uber and Microsoft engineers in 2019 to provide “data observability” software to help companies using cloud computing native architecture monitor their data. Customers include doodish, genius sports and cudo. In 2021, its annual recurring revenue increased 9 times.
Martin Mao, CEO of Chronosphere, and rob Skilling, CTO, met for the first time in Microsoft Seattle. They are committed to migrating office to the cloud based office 365 format.
They all later worked on Uber’s engineering team. Uber couldn’t find any products to meet its growing data needs, so Mao and skilinton helped the company establish a. As a result, m3, Uber’s open source production measurement system, can store and query billions of data points per second.
With the help of Chronosphere, Mao and Skilling ton are building an end-to-end solution based on M3 to help companies collect and analyze data in the cloud with the help of visualization and analysis tools. The product can work across multiple cloud platforms, including AWS and azure.
The time layer recently decided to be remote first. Its largest center is in New York City and Seattle, with a small number of employees, including Mao. The company has 80 employees and is expected to add another 35 this year.
General Atlantic led the C series. Other supporters include Greylock partners; Luxembourg capital; Additional founder’s Fund; Spark capital; And green capital. To date, the total amount of funds is US $255 million.
Anton levy, managing director of general Atlantic, said in a statement: “temporal space is at the intersection of the main trend of infrastructure software transformation – the rise of open source and the transformation to container. It has quickly become a transformation participant in observability.”.